Title
Repurposing social tagging data for extraction of domain-level concepts
Abstract
The World Wide Web, the world's largest resource for information, has evolved from organizing information using controlled, top-down taxonomies to a bottom up approach that emphasizes assigning meaning to data via mechanisms such as the Social Web (Web 2.0). Tagging adds meta-data, (weak semantics) to the content available on the web. This research investigates the potential for repurposing this layer of meta-data. We propose a multi-phase approach that exploits user-defined tags to identify and extract domain-level concepts. We operationalize this approach and assess its feasibility by application to a publicly available tag repository. The paper describes insights gained from implementing and applying the heuristics contained in the approach, as well as challenges and implications of repurposing tags for extraction of domain-level concepts.
Year
DOI
Venue
2011
10.1007/978-3-642-22327-3_19
NLDB
Keywords
Field
DocType
user-defined tag,top-down taxonomy,largest resource,social web,multi-phase approach,social tagging data,available tag repository,repurposing tag,weak semantics,world wide web,domain-level concept
Data science,Corporate sustainability,Metadata,World Wide Web,Social web,Repurposing,Computer science,Heuristics,Web 2.0,Operationalization,Semantics
Conference
Volume
ISSN
Citations 
6716
0302-9743
1
PageRank 
References 
Authors
0.37
11
6
Name
Order
Citations
PageRank
Sandeep Purao1792124.46
Veda C. Storey22796542.19
Vijayan Sugumaran397592.17
Jordi Conesa416528.98
Julià Minguillón59217.93
Joan Casas610.37